Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add bestagentkits/ck-skills --skill ai-artistgit clone --depth 1 https://github.com/bestagentkits/ck-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/bestagentkits/ck-skills/ai-artist)<a href="https://agentmods.dev/skills/bestagentkits/ck-skills/ai-artist"><img src="https://agentmods.dev/badge/skills/bestagentkits/ck-skills/ai-artist/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/bestagentkits/ck-skills/ai-artist"><img src="https://agentmods.dev/badge/skills/bestagentkits/ck-skills/ai-artist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00060 | $0.00939 |
| Opus 5 | $0.00030 | $0.00469 |
| Sonnet 5 | $0.00012 | $0.00188 |
| Haiku 4.5 | $0.00006 | $0.00094 |
Grade B, and why
ck:ai-artist scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
| `--dry-run` | Show prompt without generating | This is a copy
89% identical to ck:ai-artist — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Artist - Nano Banana Image Generation
Generate images using 129 curated prompts from awesome-nano-banana-pro-prompts collection.
Validation interview is mandatory (use --skip to bypass).
Workflow
IMPORTANT: Follow references/validation-workflow.md when this skill is activated.
Quick Start
python3 scripts/generate.py "<concept>" -o <output.png> [--mode MODE]
Generation Modes
| Mode | Description |
|---|---|
search |
Find best matching prompt from 129 curated prompts (default) |
creative |
Remix elements from top 3 matching prompts |
wild |
Out-of-the-box creative interpretation (random style transform) |
all |
Generate all 3 variations |
Examples
# Default search mode
python3 scripts/generate.py "tech conference banner" -o banner.png -ar 16:9
# Creative remix (combines multiple prompts)
python3 scripts/generate.py "AI workshop" -o workshop.png --mode creative
# Wild/experimental (random artistic transformation)
python3 scripts/generate.py "product showcase" -o product.png --mode wild
# Generate all 3 variations at once
python3 scripts/generate.py "futuristic city" -o city.png --mode all -v
Options
| Flag | Description |
|---|---|
-o, --output |
Output path (required) |
-m, --mode |
search, creative, wild, or all |
-ar, --aspect-ratio |
1:1, 16:9, 9:16, etc. |
--model |
flash2 (default, fast+quality), flash (previous), pro (quality/4K) |
-v, --verbose |
Show matched prompts and details |
--dry-run |
Show prompt without generating |
--skip |
Bypass validation interview |
Prompt Database
129 curated prompts extracted from awesome-nano-banana-pro-prompts:
# Search prompts
python3 scripts/search.py "<query>" --domain awesome
# View all prompts
cat data/awesome-prompts.csv
Categories include:
- Profile/Avatar: Thought-leader headshots, mirror selfies
- Infographics: Bento grid, chalkboard, ingredient labels
- Social Media: Quote cards, banners, thumbnails
- Product: Commercial shots, e-commerce, Apple-style
- Artistic: Ukiyo-e, patent documents, vaporwave, cyberpunk
- Character: Anime, chibi, comic storyboards
What ships with it
23 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- data/awesome-prompts.csv 246 KB
- data/lighting.csv 6.2 KB
- data/nano-banana-templates.csv 8.6 KB
- data/platforms.csv 4.6 KB
- data/styles.csv 9.5 KB
- data/techniques.csv 6.6 KB
- data/use-cases.csv 7.2 KB
- references/advanced-techniques.md 3.8 KB
- references/awesome-nano-banana-pro-prompts.md 352 KB
- references/domain-code.md 1.2 KB
- references/domain-data.md 1.1 KB
- references/domain-marketing.md 1.2 KB
- references/domain-patterns.md 732 B
- references/domain-writing.md 1.2 KB
- references/image-prompting.md 4.4 KB
- references/llm-prompting.md 3.5 KB
- references/nano-banana.md 4.9 KB
- references/reasoning-techniques.md 4.6 KB
- references/validation-workflow.md 3.9 KB
- scripts/core.py 7.2 KB runs code
- scripts/extract_prompts.py 3.4 KB runs code
- scripts/generate.py 13 KB runs code
- scripts/search.py 5.8 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 124 lines · 60 tokens per session scan B bd909af273c5
ck:ai-artist is a skill published in the GitHub repository bestagentkits/ck-skills (6 stars, last pushed 3mo ago), licensed MIT. It adds 60 tokens to every session and 939 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). It is 89% identical to ck:ai-artist, differing in 7 lines, and is treated as a copy.
Other skills, from other repositories
adr
Use when the user knows what they want built and says "/adr", "write an ADR for X", "decide and build X", or "ADR-driven". Turns an intent into a grounded, cited, build-ready ADR at docs/adr/YYYY-MM-DD- .md — load-bearing decisions surfaced to the human — then hands off to nightshift:plan's landing step (the plan is…
domain-modeling
Use when pinning down domain terminology, building a ubiquitous language or project glossary, disambiguating overloaded or vague terms, or maintaining a CONTEXT.md — or when another skill needs to sharpen the domain model. Do NOT use for recording architectural decisions (use adr) or for writing implementation specs.
plan
Use when the user has an idea, feature, or fix that is more than a one-sitting edit and says "plan this", "write a plan for X", "/nightshift:plan", or "what would it take to build X". Sizes the work (trivial → no artifact; medium → a lean plan; large → a short spec first), asks one question at a time until the design…
watch
Use when a Nightwatch spec queue is about to run, or is already running, and someone needs to fire it, watch it, and steer it — "launch nightwatch", "watch the run", "/nightwatch:watch", "pause it", "skip that spec". Runs preflight, launches run.sh, arms the journal and workflow-journal monitors, knows what is safe to…
morning
Use when the user says "/nightshift:morning", "what happened overnight", "how did the night go", "why did the loop stop", or opens a session in a repo with a loop/ directory after a scheduled run. Reads the journal since the last start line and every open land / land:blocked pull request, says per stop what happened…
writing-artifacts
Use when writing or revising a durable written artifact — README, ADR, design doc, PR description, release notes, runbook, error message, user-facing docs. Gives a positive writing system (reader model, sentence positions, document jobs), not a ban-list. Do NOT use for conversational replies to the user (global…